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Laplacian eigenmap ~ Diffusion map ~ manifold learning 1.0

  Date Added: June 14, 2013  |  Visits: 156

Laplacian eigenmap ~ Diffusion map ~ manifold learning

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Demo techniques of nonlinear eigenmaps for the purpose of recovering low-dimensional geometries.Using manifold learning techniques (aka diffusion maps, Laplacian eigenmaps, intrinsic Fourier analysis) this file recovers the true, two-dimensional structure of a dataset of points embedded in 3D.

Requirements: No special requirements
Platforms: Matlab
Keyword: Analysis Dataset Embedded Fourier Intrinsic Laplacian Points Recovers Structure Twodimensional
Users rating: 0/10

License: Shareware Size: 10 KB
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